Single-Shot Object Detection with Enriched Semantics
We propose a novel single shot object detection network named Detection with Enriched Semantics (DES). Our motivation is to enrich the semantics of object detection features within a typical deep detector, by a semantic segmentation branch and a global activation module. The segmentation branch is s...
| Main Authors: | , , , , , |
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| Format: | Technical Report |
| Language: | en_US |
| Published: |
Center for Brains, Minds and Machines (CBMM)
2018
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| Online Access: | http://hdl.handle.net/1721.1/115180 |